Fast multi-contrast MRI reconstruction.
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[1] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[2] Junzhou Huang,et al. The benefit of tree sparsity in accelerated MRI , 2014, Medical Image Anal..
[3] Junzhou Huang,et al. Calibrationless Parallel MRI with Joint Total Variation Regularization , 2013, MICCAI.
[4] Rabab Kreidieh Ward,et al. Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images , 2013, Sensors.
[5] Junzhou Huang,et al. Compressive Sensing MRI with Wavelet Tree Sparsity , 2012, NIPS.
[6] Rabab Kreidieh Ward,et al. On the choice of Compressed Sensing priors and sparsifying transforms for MR image reconstruction: An experimental study , 2012, Signal Process. Image Commun..
[7] Rabab Kreidieh Ward,et al. Synthesis and analysis prior algorithms for joint-sparse recovery , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Takahiro Saito,et al. Three kinds of color total-variation semi-norms and its application to color-image denoising , 2011, 2011 18th IEEE International Conference on Image Processing.
[9] Junzhou Huang,et al. Efficient MR image reconstruction for compressed MR imaging , 2011, Medical Image Anal..
[10] Julien Mairal,et al. Structured sparsity through convex optimization , 2011, ArXiv.
[11] A. Majumdar,et al. Joint reconstruction of multiecho MR images using correlated sparsity. , 2011, Magnetic resonance imaging.
[12] Vivek K Goyal,et al. Multi‐contrast reconstruction with Bayesian compressed sensing , 2011, Magnetic resonance in medicine.
[13] Angshul Majumdar,et al. Accelerating multi-echo T2 weighted MR imaging: analysis prior group-sparse optimization. , 2011, Journal of magnetic resonance.
[14] Junfeng Yang,et al. A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data , 2010, IEEE Journal of Selected Topics in Signal Processing.
[15] Adolf Pfefferbaum,et al. The SRI24 multichannel atlas of normal adult human brain structure , 2009, Human brain mapping.
[16] Vivek K. Goyal,et al. Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector , 2009, SIAM J. Sci. Comput..
[17] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[18] L. Ying,et al. Accelerating SENSE using compressed sensing , 2009, Magnetic resonance in medicine.
[19] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[20] Mário A. T. Figueiredo,et al. Signal restoration with overcomplete wavelet transforms: comparison of analysis and synthesis priors , 2009, Optical Engineering + Applications.
[21] Junzhou Huang,et al. Learning with structured sparsity , 2009, ICML '09.
[22] Richard G. Baraniuk,et al. Distributed Compressive Sensing , 2009, ArXiv.
[23] Junzhou Huang,et al. The Benefit of Group Sparsity , 2009 .
[24] David B. Dunson,et al. Multitask Compressive Sensing , 2009, IEEE Transactions on Signal Processing.
[25] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[26] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..
[27] Shiqian Ma,et al. An efficient algorithm for compressed MR imaging using total variation and wavelets , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[28] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[29] K. T. Block,et al. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint , 2007, Magnetic resonance in medicine.
[30] J. C. Ye,et al. Projection reconstruction MR imaging using FOCUSS , 2007, Magnetic resonance in medicine.
[31] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[32] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[33] L. He,et al. MR Image Reconstruction from Sparse Radial Samples Using Bregman Iteration , 2006 .
[34] Bhaskar D. Rao,et al. Sparse solutions to linear inverse problems with multiple measurement vectors , 2005, IEEE Transactions on Signal Processing.
[35] Tony F. Chan,et al. Color TV: total variation methods for restoration of vector-valued images , 1998, IEEE Trans. Image Process..